Grid cells are modulated by local head direction

Gerlei, Klára Z.; Passlack, Jessica; Hawes, Ian; Vandrey, Brianna; Stevens, Holly; Papastathopoulos, Ioannis; Nolan, Matthew F.

doi:10.1038/s41467-020-17500-1

Cited by 36 publications

(34 citation statements)

References 59 publications

(105 reference statements)

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“…Grid cells are spatially modulated neurons that have been identified in and around the ERC in mammalian species [20]. These cells play important roles in spatial cognition [16,21]. ERC may thus play a crucial role in spatial orientation and memory.…”

Section: Discussionmentioning

confidence: 99%

Identification of predictors for mini-mental state examination and revised Hasegawa's Dementia Scale scores using MR-based brain morphometry

Yamashita

Kuwashiro

Ishikawa

et al. 2021

European Journal of Radiology Open

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The early detection of cognitive function decline is crucial to help manage or slow the progression of symptoms. The Mini-Mental State Examination (MMSE) and revised Hasegawa's Dementia Scale (HDS-R) are widely used in screening for cognitive impairment. The purpose of this study was to explore common predictors of the two different cognitive testing systems using MR-based brain morphometry. Materials and Methods: This retrospective study included 200 subjects with clinical suspicion of cognitive impairment who underwent 3D T1-weighted MRI at our institution between February 2019 and August 2020. Variables related to the volume of deep gray matter and 70 cortical thicknesses were obtained from the MR images using voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) and FreeSurfer software. The correlation between each variable including age and MMSE/HDS-R scores was evaluated using uniand multi-variate logistic regression analyses. Results: In univariate analysis, parameters include hippocampal volume and bilateral entorhinal cortex (ERC) thickness showed moderate correlation coefficients with both MMSE and HDS-R scores. Multivariate analysis demonstrated the right ERC thickness was the common parameter which significantly correlates with both MMSE and HDS-R scores (p < 0.05). Conclusion:Right ERC thickness appears to offer a useful predictive biomarker for both MMSE and HDS-R scores.

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Section: Discussionmentioning

confidence: 99%

Identification of predictors for mini-mental state examination and revised Hasegawa's Dementia Scale scores using MR-based brain morphometry

Yamashita

Kuwashiro

Ishikawa

et al. 2021

European Journal of Radiology Open

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“…In the adult rat brain, space and orientation are expressed by the hippocampal structure, which is home to a variety of spatial cells with specific firing effects on spatial location, including head-direction cells [1], grid cells [2], and place cells [3]. Each spatial cell receives the motion information of the body or the outside world [4,5], and processing and handling this information form a cognitive map based on the current spatial environment in the hippocampus structure [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network

Liao

et al. 2021

Journal of Healthcare Engineering

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Physiological studies have shown that the hippocampal structure of rats develops at different stages, in which the place cells continue to develop during the whole juvenile period of rats and mature after the juvenile period. As the main information source of place cells, grid cells should mature earlier than place cells. In order to make better use of the biological information exhibited by the rat brain hippocampus in the environment, we propose a position cognition model based on the spatial cell development mechanism of rat hippocampus. The model uses a recurrent neural network with parametric bias (RNNPB) to simulate changes in the discharge characteristics during the development of a single stripe cell. The oscillatory interference mechanism is able to fuse the developing stripe waves, thus indirectly simulating the developmental process of the grid cells. The output of the grid cells is then used as the information input of the place cells, whose development process is simulated by BP neural network. After the place cells matured, the position matrix generated by the place cell group was used to realize the position cognition of rats in a given spatial region. The experimental results show that this model can simulate the development process of grid cells and place cells, and it can realize high precision positioning in the given space area. Moreover, the experimental effect of cognitive map construction using this model is basically consistent with the effect of RatSLAM, which verifies the validity and accuracy of the model.

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“…Microdrive fabrication for in vivo electrophysiology recordings was similar to our previous work (Gerlei et al, 2020). 16-channel microdrives consisting of 4 tetrodes were built by threading 90% platinum 10% iridium wire (18µm HML-coated, Neuralynx) to an EIB-16 board (Neuralynx) via an inner cannula (21 gauge 9 mm long).…”

Section: Microdrive Fabricationmentioning

confidence: 99%

“…Handling and habituation of mice was similar to that described previously (Gerlei et al, 2020;Tennant et al, 2018). Mice were handled twice a day for 5 -10 minutes for one week following surgery.…”

Section: Handling and Habituationmentioning

confidence: 99%

Spatial representation by ramping activity of neurons in the retrohippocampal cortex

Hawes

Clark

et al. 2021

Preprint

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When solving navigational problems, remembering that a critical location is approaching can enable appropriate behavioural choices without waiting for sensory signals. Whereas multiple types of neuron in the hippocampus and retrohippocampal cortex represent locations using codes based on discrete spatial firing fields, analogue neural representations may be advantageous for efficiently recalling proximity to locations of behavioral importance. Here, we identify retrohippocampal neurons that use analogue ramp-like changes in firing rate to represent location as mice navigate a virtual environment in which they have learned the location of a reward. Ramp-like firing patterns had positive or negative slopes and could switch polarity or reset their rate at the reward location. These transitions were maintained when location cues were removed, indicating that path integration is sufficient to drive recall of the track structure expressed through ramp-like codes. We suggest that analogue ramp-like representations encode learned models for goal-directed navigation.

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Grid cells are modulated by local head direction

Cited by 36 publications

References 59 publications

Identification of predictors for mini-mental state examination and revised Hasegawa's Dementia Scale scores using MR-based brain morphometry

Identification of predictors for mini-mental state examination and revised Hasegawa's Dementia Scale scores using MR-based brain morphometry

A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network

Spatial representation by ramping activity of neurons in the retrohippocampal cortex

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